Job Location: Bhopal
You will provide technical leadership in supporting OU innovation projects and act as a key enabler in leading and delivering results against challenges. You will work with the innovation team looking at new platforms, machine control, data processing and analytics. You will also:
Develop and plan required analytic projects in response to business needs. Leverage data science tools to solve the toughest process problems in the region.
Develop new analytics / predictive / prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
Work with process/equipment experts and application developers to identify data relevant for analysis.
Contribute together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
Develop and maintain data pipelines for the hub-site
Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
Identify, diagnose, and resolve prognostics model performance issue. Leverage Reliability Engineering enhance with data science to develop new solutions to reduce losses.
Job Qualifications :
Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions.
Strong familiarity with data preparation and processing.
Strong analytical statistical and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, PowerBi, Tableau, and familiarity with functional programming and scripting languages, e.g., .NET, VB, C++, Python, Matlab.
Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
Teamwork attitude with clear technical communication
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